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Lifecycle Marketing Operations Manager

πŸ•’ July 13

πŸ„ California, Florida, +1 more states – Remote

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πŸ’΅ $130k - $160k / year

⏰ Full Time

🟑 Mid-level

🟠 Senior

βš™οΈ Marketing Operations

πŸ¦… H1B Visa Sponsor

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πŸ‘» Ghost score 21%

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Flex

11 - 50 employees

πŸ’³ Fintech

🀝 B2B

πŸ’° $100M Debt Financing on 2023-09

Fintech β€’ B2B

Flex is an end-to-end finance platform designed for businesses, facilitating various financial operations and enhancing financial management. With a focus on providing comprehensive financial solutions, Flex aims to streamline processes and improve efficiency for its users in the commercial sector.

πŸ“‹ Description

β€’ Own lifecycle marketing strategy end-to-end: acquisition follow-up, application drop-off recovery, onboarding, activation, retention, and win-back across Flex's product suite β€’ Draft and own lifecycle messaging and copy directly β€’ Partner with Product to define and maintain clear ownership boundaries β€’ Partner directly with Engineering and Data to design event-based triggers and data architecture β€’ Build and own Braze infrastructure β€’ Design and maintain the Segment-to-Braze data pipeline β€’ Develop the measurement framework for lifecycle marketing β€’ Bring judgment on prioritization and sequencing β€’ Ensure lifecycle communications meet the compliance and disclosure standards

🎯 Requirements

β€’ 6-8+ years of experience in lifecycle marketing, CRM, or retention marketing, with meaningful time in fintech, financial services, or another regulated industry β€’ Deep hands-on experience with Braze (or a comparable platform like Iterable/Customer.io) β€’ Working fluency with Segment or similar CDPs, including identity resolution, event tracking, and data pipeline design β€’ Proven experience partnering directly with Engineering and Data teams to design event-based systems β€’ Strong analytical fluency β€’ Strong writing skills and comfort using AI tools to draft and iterate on messaging quickly β€’ Bonus: B2B experience alongside B2C/D2C, and familiarity with BigQuery, dbt, or similar data warehouse tools

πŸ–οΈ Benefits

β€’ Meaningful equity β€’ High trust β€’ Real accountability β€’ Direct access to leadership, customers, and investors

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